Sökning: "binär logistisk regression"

Visar resultat 21 - 25 av 49 uppsatser innehållade orden binär logistisk regression.

  1. 21. Smarter geovisualization tools : a user approach

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Frida Ulfves; [2019]
    Nyckelord :physical geography and ecosystem analysis; geography; geovisualizations; sense of place; user approach; Earth and Environmental Sciences;

    Sammanfattning : Geovisualization tools are continuously becoming more complex. These tools can present vivid and highly accurate representations of the real world. Simultaneously, spatial data is becoming incredibly detailed and the possibilities of interacting with the geovisualization tools are plentiful. Geovisualization tools are indeed powerful. LÄS MER

  3. 22. Tidig prognostisering av konkurs för företag inom byggbranschen : En stegvis binär logistisk regressionsmodell av svenska företag

    Kandidat-uppsats, Mittuniversitetet/Institutionen för ekonomi, geografi, juridik och turism

    Författare :Tatiana Dykina; [2019]
    Nyckelord :Small and medium-sized construction companies; financial distress; bankruptcy; binary logistic regression analysis; capital structure; profitability; liquidity; profit structure; macroeconomics; Små och medelstora byggföretag; finansiell oro; konkurs; binär logistisk regressionsanalys; kapitalstruktur; lönsamhet; likviditet; resultatstruktur; makroekonomi;

    Sammanfattning : En skillnad mellan studier om finansiell oro och konkurs är vilka metoder och modeller som används för att prognostisera konkurs. I Sverige är byggföretag hårt drabbade av konkurser. LÄS MER

  4. 23. Debt recovery prediction in securitized non-performing loans using machine learning

    Master-uppsats, KTH/Matematisk statistik

    Författare :Edvin Hedblom; Rasmus Åkerblom; [2019]
    Nyckelord :;

    Sammanfattning : Credit scoring using machine learning has been gaining attention within the research field in recent decades and it is widely used in the financial sector today. Studies covering binary credit scoring of securitized non-performing loans are however very scarce. LÄS MER

  5. 24. An investigation of categorical variable encoding techniques in machine learning: binary versus one-hot and feature hashing

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Cedric Seger; [2018]
    Nyckelord :categorical features; feature hashing; binary encoding; classi- fication; kategoriska variabler; feature hashing; binär kodning; klassi- ficering;

    Sammanfattning : Machine learning methods can be used for solving important binary classification tasks in domains such as display advertising and recommender systems. In many of these domains categorical features are common and often of high cardinality. LÄS MER

  7. 25. A Step Toward GDPR Compliance : Processing of Personal Data in Email

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Linnea Olby; Isabel Thomander; [2018]
    Nyckelord :Information extraction; named entity recognition; machine learning; binary logistic regression; GDPR; code of conduct;

    Sammanfattning : The General Data Protection Regulation enforced on the 25th of may in 2018 is a response to the growing importance of IT in today’s society, accompanied by public demand for control over personal data. In contrast to the previous directive, the new regulation applies to personal data stored in an unstructured format, such as email, rather than solely structured data. LÄS MER